Estimating Near-Surface Air Temperature From Satellite-Derived Land Surface Temperature Using Temporal Deep Learning: A Comparative Analysis
This study develops and compares three deep learning methods—LSTM, TCN, and N-BEATS—for estimating near-surface air temperature (T2M) from satellite-derived land surface temperature (LST) and land cover metrics such as NDVI and NDBI. By incorporating temporal context through va...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10876123/ |
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